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001     1032004
005     20241210095447.0
024 7 _ |a 10.1145/3641825.3689494
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037 _ _ |a FZJ-2024-05920
100 1 _ |a Baker, Dirk Norbert
|0 P:(DE-Juel1)185995
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|e Corresponding author
111 2 _ |a VRST '24: 30th ACM Symposium on Virtual Reality Software and Technology
|c Trier Germany
|d 2024-10-09 - 2024-10-11
|w Germany
245 _ _ |a Hands-On Plant Root System Reconstruction in Virtual Reality
260 _ _ |c 2024
|b ACM New York, NY, USA
295 1 0 |a 30th ACM Symposium on Virtual Reality Software and Technology : [Proceedings] - ACM New York, NY, USA, 2024. - ISBN 9798400705359 - doi:10.1145/3641825.3689494
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520 _ _ |a VRoot is an immersive extended reality reconstruction tool for root system architectures from 3D volumetric scans of soil columns. We have conducted a laboratory user study to assess the performance of new users with our software in comparison to established software. We utilize a plant model to derive a synthetic root architecture, providing a baseline for reconstruction. This demo showcases the processes and techniques contributing to exact and efficient manual root architecture reconstruction in Virtual Reality. The extraction task typically is the sparse graph-structure extraction from a 3D magnetic-resonance imaging (MRI) data set. We visualize the RSA directly within the MRI and offer selection-set-based methods of adapting and augmenting the root architecture. This application is in productive use at our partner institute, where it is used to analyze complex root images.
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700 1 _ |a Selzner, Tobias
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700 1 _ |a Göbbert, Jens Henrik
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700 1 _ |a Scharr, Hanno
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700 1 _ |a Riedel, Morris
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700 1 _ |a Hvannberg, Ebba Þóra
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700 1 _ |a Schnepf, Andrea
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700 1 _ |a Zielasko, Daniel
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773 _ _ |a 10.1145/3641825.3689494
856 4 _ |u https://doi.org/10.1145/3641825.368949
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